agentCLAWHUBUnverified

Indoor Plant Light Stress Detection | 室内植物光照不足/过强识别

Detects and analyzes indoor plant light stress from images and optional lux data, identifying low or excessive light symptoms and suggesting adjustments. Skill: Indoor Plant Light Stress Detection | 室内植物光照不足/过强识别 Owner: smyx-sunjinhui Summary: Detects and analyzes indoor plant light stress from images and optional lux data, identifying low or excessive light symptoms and suggesting adjustments. Tags: latest:1.0.11 Version history: v1.0.11 | 2026-10-01T07:58:41.810Z | auto - Removed the file: skill-card.md. - Updated configuration in skills/smyx_common/scripts/config.y

OpenClaw

Rank

62

Safety

84

Downloads

1.8k

Updated

Oct 10, 2026

Version

1.0.11

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.8K downloads reported by the source. Last updated 10/10/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 10, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 10, 2026
Adoption signal
1.8K downloadsadoption · observed Oct 10, 2026
Latest release
1.0.11release · observed Oct 1, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-indoor-plant-light-stress-detect-analysis
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-indoor-plant-light-stress-detect-an/snapshot"

Documentation

CLAWHUB

133,206 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-indoor-plant-light-stress-detect-analysis"
description: "AI-powered indoor plant light stress detection from smart planter or fixed camera images (optionally combined with light sensor lux data). Detects morphological anomalies caused by low light (elongated internodes / etiolation, thin leaves, pale green color) or strong-light damage (leaf burn spots, scorched edges, curling, bleaching). Combined with optional lux sensor readings, it determines the current light stress type (insufficient / excessive / normal) and outputs adjustment suggestions (e.g. move to window, add shading, adjust grow-light duration). Scenarios: smart planters, indoor green plant care, home gardening, office plants. | 通过智能花盆或固定摄像头拍摄植物整体图像(也可选配光照传感器数据),利用AI视觉分析技术检测植物因光照不足引起的形态异常(如茎节间距拉长—徒长、叶片变薄、颜色浅绿)或因光照过强引起的损伤(叶片灼伤斑、焦边、卷曲、褪绿)。结合可选的光照传感器实时数据(勒克斯值),综合判断植物当前所受的光照胁迫类型(不足/过强/正常),并输出光照调整建议(如"增加光照,可移至窗边""遮阴,避免直射光")。应用场景:智能花盆、室内绿植养护、家庭园艺、办公室植物。"
version: "1.0.11"
license: "MIT-0"
---

# ☀️ Indoor Plant Light Stress Detection | 室内植物光照不足/过强识别
> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **室内植物光照不足/过强识别** |
| 🎯 核心目标 | 通过智能花盆或固定摄像头拍摄植物整体图像(也可选配光照传感器数据),利用AI视觉分析技术检测植物因光照不足引起的形态异常(如茎节间距拉长—徒长、叶片变薄、颜色浅绿)或因光照过强引起的损伤(叶片灼伤斑、焦边、卷曲、褪绿)。结合可选的光照传感器实时数据(勒克斯值),综合判断植物当前所受的光照胁迫类型(不足/过强/正常),并输出光照调整建议(如"增加光照,可移至窗边""遮阴,避免直射光")。应用场景:智能花盆、室内绿植养护、家庭园艺、办公室植物。 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `SMYX_INDOOR_PLANT_LIGHT_STRESS_DETECT_ANALYSIS` |

AI-powered indoor plant light stress detection from smart planter or fixed camera images (optionally combined with light
sensor lux data). Detects morphological anomalies caused by low light (elongated internodes / etiolation, thin leaves,
pale green color) or strong-light damage (leaf burn spots, scorched edges, curling, bleaching). Combined with optional
lux sensor readings, it determines the current light stress type (insufficient / excessive / normal) and outputs
adjustment suggestions (e.g. move to window, add shading, adjust grow-light duration). Scenarios: smart planters, indoor
green plant care, home gardening, office plants.

通过智能花盆或固定摄像头拍摄植物整体图像(也可选配光照传感器数据),利用AI视觉分析技术检测植物因光照不足引起的形态异常(如茎节间距拉长—徒长、叶片变薄、颜色浅绿)或因光照过强引起的损伤(叶片灼伤斑、焦边、卷曲、褪绿)。结合可选的光照传感器实时数据(勒克斯值),综合判断植物当前所受的光照胁迫类型(不足/过强/正常),并输出光照调整建议(如"
增加光照,可移至窗边""遮阴,避免直射光")。应用场景:智能花盆、室内绿植养护、家庭园艺、办公室植物。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | * *假设你是一个专业的植物光环境健康AI。你的任务是分析室内植物的图像(整体形态及叶片细节),检测因光照不足导致的徒长特征(茎节间距拉长、叶片稀疏、叶色浅绿)或因光照过强导致的灼伤特征(叶片黄褐色枯斑、焦边、卷曲、叶面白化),并可结合可选的光照传感器数据(勒克斯 lux 值),综合评估光照胁迫状态(不足 / 正常 / 过强),输出调整建议。不要提供具体设备参数,仅输出基于视觉(及可选传感器)的判断。** |

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)

---

## 🎯 任务目标 | Goals
### 1. 🧩 技能用途

通过室内植物的整体图像或视频进行光照胁迫识别,结合可选的环境光 lux 数据,输出光照胁迫类型评估及调整建议

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 徒长特征识别(节间拉长 / 叶片稀疏 / 颜色浅绿 / 弯向光源) |
| 2 | 强光灼伤识别(黄褐色枯斑 / 焦边 / 卷曲 / |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|-

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-indoor-plant-light-stress-detect-analysis",
  "version": "1.0.11",
  "publishedAt": 1790841521810
}

references/api_doc.md

# API 接口文档

此处用于存放宠物健康分析 API 的接口文档,待后续补充。

## 接口规范

- 基础地址:由 smyx_common 配置统一管理
- 认证方式:API Key 鉴权
- 响应格式:JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动健康分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史报告
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `OPEN_PET_HEALTH_ANALYSIS` - 开放平台宠物健康分析

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址:由 smyx_common 配置统一管理
- 认证方式:API Key 鉴权
- 请求格式:支持文件上传
- 响应格式:JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 10, 2026.

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